Technology

We have partnered with a Series B fintech startup to hire a Product Manager. This is a fully remote role. The business has found its footing, built a consumer product that customers rely on and is now scaling fast. The next phase is about depth as much as growth, taking what works and making it significantly better. This hire will own a core part of that, taking full responsibility for new features from brief through to delivery as the platform expands.This is a role for a PM who likes to be close to the work. You will have real ownership, a short decision-making chain and the satisfaction of seeing what you build land with real consumers at scale.About the role:Own the end-to-end delivery of new product features, from discovery and definition through to launch and iterationWork directly with customers and internal stakeholders to identify pain points, validate ideas and shape a roadmap that drives genuine product valuePartner with engineering and design to ship features at pace, maintaining a high bar for quality and consumer experienceDefine success metrics for each feature and use data to evaluate performance, inform prioritisation and drive continuous improvementContribute to roadmap planning alongside product leadership, balancing short-term delivery demands with longer-term platform visionWork cross-functionally with marketing, customer success and operations to ensure new features resonate with consumers and drive commercial outcomes About you:4 to 6 years of product management experience, ideally within a B2C fintech or consumer technology environmentProven track record of owning and shipping features that have made a measurable difference to consumers and the businessStrong instinct for consumer behaviour, with the ability to turn user insight into clear, well-scoped product decisionsComfortable working in a fast-moving, growth-stage environment where priorities shift and autonomy is expectedData-literate, with experience setting success metrics and using analytics to guide decisionsStrong communicator with the ability to align engineering, marketing and leadership stakeholdersFully remote, open to candidates globally

Job Title: AV Technician - Support & Installation Salary: between £150.00 to £175.00 per day Inside IR35Duration: Initially 3 months contract which is very likely to extend, along with the possibility of a permanent role being offered. Location: Central London Working hours: 9am - 5pm with days when you may start and finish an hour earlier or later.. There will be the chance to work overtime which you will be compensated for either financially or by time in lieu.A very exciting Client of ours are looking to hire an AV Technician to support with day to day support and events. The AV Technician will take be involved in supporting, installing, implementing and configuring simple and complex AV technologies to meet the needs of the business. As the AV Technician , you will be supporting Audio Visual presentations across theatres and studios, prioritising equipment repairs and replacements, and assisting the wider AV team.Responsibilities for the AV Engineer:Support, maintain and troubleshoot AV issuesSetting up and recording live streamsSupport, maintain and troubleshoot hardware issuesSupport events with their AV requirementsSupport AV installationsCreate documentation around all tickets completed and create user guidesStore, transport, assemble and disassemble AV equipmentEssential Skills for the AV Technician : The successful AV Support & Installation Engineer will have experience with the following: Audio Visual support experienceExperience working within an AV environment working with conference Centre and StudioGood experience working with Lighting and Sound systemsExperience working with mixing desks eg YamahaDiagnosing issues with MS Teams and hardwwarePrevious experience setting up video streams and recording video streamsAble to assist with physical installationsGood understanding of Signal flow and compressionTroubleshooting mindsetDetailed orientatedTime managementGood customer service skills including excellent verbal communication skillsDesirable Skills for the AV Support & Installation Engineer: It will be beneficial if the AV Support & Installation Engineer has experience or knowledge of any of the below: Completed AV installationsVMix, OBJMicrosoft WindowsSound EngineeringAny relevant certificationsIf you are interested in this great opportunity to become an AV Support & Installation Engineer that will allow you to enhance your skillset whilst working within a growing company which offers a lot of progression and funding towards certifications/training, then please apply in the immediate instance

We are partnered with a well-funded e-commerce startup in Riyadh, backed by a major retail group, to hire their first permanent CTO. The business is live and growing, but the technology ambition is far bigger than where it sits today. This is a build role and a management role.The incoming CTO will take ownership of the company's entire technology direction, architecting and building a fully integrated, proprietary platform spanning ecommerce, warehousing, order management, logistics, POS, marketplace operations, and data infrastructure. The goal is a scalable, internally owned ecosystem that gives the business a genuine edge across the GCC.About the role:Own and execute the long-term technology roadmapArchitect modular, API-first systems built for scale across omnichannel retail and ecommerce operationsBuild proprietary systems including WMS, OMS, ERP, POS, shipping infrastructure, and marketplace middlewareOversee architecture and all third-party integrationsBuild and lead high-performing engineering and product teamsManage internal developers alongside external agencies and system integratorsDrive execution at pace while maintaining stability and quality About you:10+ years in software engineering and technology leadershipStrong track record building proprietary systems across retail, ecommerce, logistics, or warehousingDeep knowledge of WMS, OMS, ERP, POS, and inventory architectureProven ability to build from scratch, not just configure SaaS toolsExperienced leading engineering teams in high-growth environmentsBuilder mentality with sharp operational instincts and a bias for executionBased in or willing to relocate to Riyadh

We have partnered with a large, diversified conglomerate to hire an AI/ML Manager. This is a hands-on technical leadership role at the heart of the Group's AI delivery programme. The business is building and deploying real AI systems across multiple functions, and this person will own the engineering of those systems from design through to production. If you want to work on AI that actually ships and actually matters, this is the role.This role suits someone with deep applied AI experience who is ready to lead delivery across a cross-functional engineering team without losing their technical edge.About the role:Design, build and deploy production-grade AI and ML systems including LLM-based applications, RAG pipelines and GenAI workflows across the GroupTranslate business use cases into scalable, well-architected technical solutions that solve real problems rather than demonstrate capabilityDevelop APIs, integrations and orchestration workflows that connect AI systems into broader platform and product architectureLead delivery across small engineering pods, maintaining quality, pace and clear accountability throughoutEnsure all systems meet production readiness standards including performance, scalability, monitoring and fault toleranceStay current with the rapidly evolving AI landscape and bring emerging techniques and tooling into the team where they add genuine value About you:Strong Python skills and deep applied AI/ML experience, with a track record of building and deploying models into production environmentsHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorProficiency with orchestration frameworks such as LangChain, LlamaIndex or equivalentSolid understanding of system design, APIs and how AI components integrate into broader engineering architecturesComfortable leading engineering teams and managing delivery across multiple workstreams simultaneously

We have partnered with a large, diversified conglomerate to hire an AI Manager with a Data Engineering focus. This is a hands-on technical leadership role sitting at the intersection of data infrastructure and AI delivery.The business is moving fast on its AI agenda and needs someone who understands that the quality of what gets deployed is only ever as good as the data that powers it. You will own the data engineering workstream within a cross-functional AI team, building the pipelines, platforms and architecture that make production AI systems possible.This role suits a technically strong engineer who has grown into delivery leadership and wants to operate at the centre of a genuinely ambitious AI programme.About the role:Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the GroupTranslate business use cases into clean, well-architected technical solutions across both batch and streaming data environmentsOwn data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scaleDevelop APIs, workflows and integrations that connect data infrastructure to AI and ML systemsLead delivery across small engineering pods, maintaining pace, quality and clear accountabilityEnsure all solutions meet production readiness standards including monitoring, observability and fault tolerance About you:Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environmentsProficiency with cloud data platforms such as Snowflake, BigQuery or RedshiftExperience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalentStrong SQL and Python skills, with an understanding of software engineering principles applied to dataExperience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layersComfortable leading engineering teams and managing delivery across multiple workstreams

We have partnered with a large, diversified conglomerate to hire a Head of AI Engineering. This is a Group-level role with a mandate that matters. AI is moving from strategy into execution across the business, and this person will own that transition end to end. From identifying the right use cases to deploying production-grade systems at enterprise scale, the remit is broad, the visibility is high and the opportunity to leave a lasting mark on a complex organisation is real.This role suits a leader who is equally at home in a technical design review and a boardroom conversation. You will bring strong engineering depth, sharp commercial judgement and the ability to build and inspire a cross-functional team that delivers.About the role:Lead the identification, design and deployment of AI use cases across business functions, owning the full journey from concept to productionDefine and own the architecture across AI/ML, GenAI and automation systems at enterprise scaleBuild, lead and scale a cross-functional AI engineering team, setting the standard for how the function operates and deliversEstablish MLOps frameworks, deployment standards and governance practices that ensure AI systems are reliable, secure and maintainablePartner with product and business stakeholders across the Group to drive adoption, measure ROI and ensure AI initiatives deliver tangible commercial valueAct as the senior technical voice on AI across the organisation, influencing decisions at Group leadership level About you:10 to 15 years or more of experience in engineering, AI or large-scale technology delivery, with a clear track record of deploying AI and ML systems into production at enterprise scaleStrong hands-on understanding of LLMs, orchestration frameworks, MLOps and modern AI architecture patternsSolid experience across cloud platforms including AWS, Azure or GCP, alongside APIs and data pipeline designProven ability to lead technical teams and engage senior stakeholders with equal confidence and credibilityCommercially minded, with the ability to connect technical decisions to business outcomes and articulate value clearlyIndustry background is open, but experience within complex, multi-business-unit organisations is a strong advantageBased in the UAE or willing to relocate

We have partnered with a growth-stage enterprise SaaS business to hire an AI Product Manager. This company is not bolting AI onto an existing product and hoping for the best. They are rebuilding how their platform thinks, automates and serves users, and they need a PM who can lead that from the front. With serious engineering talent already in place and a leadership team that understands what AI can actually do, the conditions here are genuinely rare.This role suits someone who sits comfortably between the technical and the commercial. You understand how AI systems work well enough to have credible conversations with engineers, and you understand users well enough to know which problems are actually worth solving.About the role:Own the AI product roadmap, defining and prioritising features that embed AI meaningfully into the core platform experienceWork closely with engineering, data science and design to take AI capabilities from concept through to shipped, production-grade featuresConduct deep user and market research to identify where AI can reduce friction, automate workflows and create measurable value for enterprise customersDefine success metrics for AI features, building evaluation frameworks that go beyond vanity metrics to measure real user and business impactTranslate complex AI capabilities into clear product narratives that resonate with customers, sales and executive stakeholdersStay ahead of the rapidly evolving AI landscape, identifying emerging techniques and tools that could strengthen the productPartner with GTM and customer success teams to ensure AI features land well and drive adoption across the customer base About you:3 to 5 years of product management experience, with at least some of that spent shipping AI or ML powered features in a production environmentStrong enough technical understanding of AI and ML concepts to work as a genuine peer to engineering and data science teamsProven track record of owning and delivering features that created measurable value for enterprise customersComfortable operating in a fast-moving, growth-stage environment where priorities evolve and ambiguity is part of the jobSharp analytical mindset with experience using data to inform prioritisation, evaluate feature performance and drive decisionsExcellent communicator with the ability to align technical teams, commercial stakeholders and senior leadership around a shared visionFamiliarity with LLMs, agentic systems or workflow automation is a strong advantageBased in the US or authorised to work in the United States

We have partnered with an established fintech business to hire a BI Engineer. This is a business that runs on data. Decisions across product, commercial and operations are driven by insight, and the BI function sits right at the centre of that. With a mature data environment and a leadership team that genuinely values what good BI looks like, this is a strong platform for someone who wants to do their best work.About the role:Design, build and maintain scalable data models and BI solutions that serve commercial, product and operational teams across the businessOwn the development and continuous improvement of dashboards and reporting tools, ensuring they are accurate, performant and genuinely usefulWork closely with stakeholders to understand reporting requirements and translate them into clean, well-structured analytical solutionsBuild and maintain data pipelines that feed BI layers, working alongside data engineering to ensure reliability and consistencyDefine and enforce semantic layer standards, metrics definitions and data documentation that create a single source of truthIdentify opportunities to improve data accessibility, reduce manual reporting and drive self-serve analytics across the organisation About you:4 to 6 years of experience in BI engineering or a closely related analytics engineering roleStrong proficiency in SQL and experience working with modern data platforms such as Snowflake, BigQuery or RedshiftHands-on experience with BI tools such as Looker, Power BI or Tableau, including building production-grade dashboards and reportsSolid understanding of data modelling principles including dimensional modelling and experience with dbt or equivalent transformation toolingComfortable working directly with business stakeholders to gather requirements and deliver solutions that drive decisionsFintech, banking or financial services experience is advantageous

We have partnered with a leading omnichannel retailer in the UAE to appoint a Head of Data. This business operates across physical and digital channels, generating rich data across customer behaviour, inventory, supply chain and commercial performance. The opportunity is to bring that data together, make it trustworthy and turn it into something the business uses to compete.This role suits a seasoned data leader who can set strategy, shape technical direction and build a function that delivers real commercial value across a complex retail organisation.About the role:Define and lead the data strategy, aligning capability with commercial priorities across physical and digital channelsBuild and scale a data function spanning engineering, analytics, data science and governanceOwn the architecture and evolution of the data platform, ensuring it supports advanced analytics and AI use cases at scaleDrive the development of a unified customer view connecting online and offline behaviour across the full retail journeyEstablish data governance frameworks and quality standards that make data trustworthy across the organisationPartner with commercial, marketing, supply chain and technology leadership to embed data-driven decision making at every level About you:12 or more years of experience in data leadership, with a track record of building and scaling data functions within complex organisationsDeep understanding of the retail data landscape including customer analytics, merchandising, supply chain and omnichannel measurementStrong technical grounding across cloud data platforms, data modelling and analytics infrastructure, with experience in tools such as Snowflake, Databricks or dbtProven ability to lead high-performing teams across engineering, analytics and data science disciplinesCommercially minded, with the ability to connect data initiatives directly to revenue, margin and customer outcomesCredible at C-Suite level with strong stakeholder management skills

We have partnered with a Series B fintech startup to hire a Product Manager. This is a fully remote role. The business has found its footing, built a consumer product that customers rely on and is now scaling fast. The next phase is about depth as much as growth, taking what works and making it significantly better. This hire will own a core part of that, taking full responsibility for new features from brief through to delivery as the platform expands.This is a role for a PM who likes to be close to the work. You will have real ownership, a short decision-making chain and the satisfaction of seeing what you build land with real consumers at scale.About the role:Own the end-to-end delivery of new product features, from discovery and definition through to launch and iterationWork directly with customers and internal stakeholders to identify pain points, validate ideas and shape a roadmap that drives genuine product valuePartner with engineering and design to ship features at pace, maintaining a high bar for quality and consumer experienceDefine success metrics for each feature and use data to evaluate performance, inform prioritisation and drive continuous improvementContribute to roadmap planning alongside product leadership, balancing short-term delivery demands with longer-term platform visionWork cross-functionally with marketing, customer success and operations to ensure new features resonate with consumers and drive commercial outcomes About you:4 to 6 years of product management experience, ideally within a B2C fintech or consumer technology environmentProven track record of owning and shipping features that have made a measurable difference to consumers and the businessStrong instinct for consumer behaviour, with the ability to turn user insight into clear, well-scoped product decisionsComfortable working in a fast-moving, growth-stage environment where priorities shift and autonomy is expectedData-literate, with experience setting success metrics and using analytics to guide decisionsStrong communicator with the ability to align engineering, marketing and leadership stakeholdersFully remote, open to candidates globally

Job Title: AV Technician - Support & Installation Salary: between £150.00 to £175.00 per day Inside IR35Duration: Initially 3 months contract which is very likely to extend, along with the possibility of a permanent role being offered. Location: Central London Working hours: 9am - 5pm with days when you may start and finish an hour earlier or later.. There will be the chance to work overtime which you will be compensated for either financially or by time in lieu.A very exciting Client of ours are looking to hire an AV Technician to support with day to day support and events. The AV Technician will take be involved in supporting, installing, implementing and configuring simple and complex AV technologies to meet the needs of the business. As the AV Technician , you will be supporting Audio Visual presentations across theatres and studios, prioritising equipment repairs and replacements, and assisting the wider AV team.Responsibilities for the AV Engineer:Support, maintain and troubleshoot AV issuesSetting up and recording live streamsSupport, maintain and troubleshoot hardware issuesSupport events with their AV requirementsSupport AV installationsCreate documentation around all tickets completed and create user guidesStore, transport, assemble and disassemble AV equipmentEssential Skills for the AV Technician : The successful AV Support & Installation Engineer will have experience with the following: Audio Visual support experienceExperience working within an AV environment working with conference Centre and StudioGood experience working with Lighting and Sound systemsExperience working with mixing desks eg YamahaDiagnosing issues with MS Teams and hardwwarePrevious experience setting up video streams and recording video streamsAble to assist with physical installationsGood understanding of Signal flow and compressionTroubleshooting mindsetDetailed orientatedTime managementGood customer service skills including excellent verbal communication skillsDesirable Skills for the AV Support & Installation Engineer: It will be beneficial if the AV Support & Installation Engineer has experience or knowledge of any of the below: Completed AV installationsVMix, OBJMicrosoft WindowsSound EngineeringAny relevant certificationsIf you are interested in this great opportunity to become an AV Support & Installation Engineer that will allow you to enhance your skillset whilst working within a growing company which offers a lot of progression and funding towards certifications/training, then please apply in the immediate instance

We are partnered with a well-funded e-commerce startup in Riyadh, backed by a major retail group, to hire their first permanent CTO. The business is live and growing, but the technology ambition is far bigger than where it sits today. This is a build role and a management role.The incoming CTO will take ownership of the company's entire technology direction, architecting and building a fully integrated, proprietary platform spanning ecommerce, warehousing, order management, logistics, POS, marketplace operations, and data infrastructure. The goal is a scalable, internally owned ecosystem that gives the business a genuine edge across the GCC.About the role:Own and execute the long-term technology roadmapArchitect modular, API-first systems built for scale across omnichannel retail and ecommerce operationsBuild proprietary systems including WMS, OMS, ERP, POS, shipping infrastructure, and marketplace middlewareOversee architecture and all third-party integrationsBuild and lead high-performing engineering and product teamsManage internal developers alongside external agencies and system integratorsDrive execution at pace while maintaining stability and quality About you:10+ years in software engineering and technology leadershipStrong track record building proprietary systems across retail, ecommerce, logistics, or warehousingDeep knowledge of WMS, OMS, ERP, POS, and inventory architectureProven ability to build from scratch, not just configure SaaS toolsExperienced leading engineering teams in high-growth environmentsBuilder mentality with sharp operational instincts and a bias for executionBased in or willing to relocate to Riyadh

We have partnered with a large, diversified conglomerate to hire an AI/ML Manager. This is a hands-on technical leadership role at the heart of the Group's AI delivery programme. The business is building and deploying real AI systems across multiple functions, and this person will own the engineering of those systems from design through to production. If you want to work on AI that actually ships and actually matters, this is the role.This role suits someone with deep applied AI experience who is ready to lead delivery across a cross-functional engineering team without losing their technical edge.About the role:Design, build and deploy production-grade AI and ML systems including LLM-based applications, RAG pipelines and GenAI workflows across the GroupTranslate business use cases into scalable, well-architected technical solutions that solve real problems rather than demonstrate capabilityDevelop APIs, integrations and orchestration workflows that connect AI systems into broader platform and product architectureLead delivery across small engineering pods, maintaining quality, pace and clear accountability throughoutEnsure all systems meet production readiness standards including performance, scalability, monitoring and fault toleranceStay current with the rapidly evolving AI landscape and bring emerging techniques and tooling into the team where they add genuine value About you:Strong Python skills and deep applied AI/ML experience, with a track record of building and deploying models into production environmentsHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorProficiency with orchestration frameworks such as LangChain, LlamaIndex or equivalentSolid understanding of system design, APIs and how AI components integrate into broader engineering architecturesComfortable leading engineering teams and managing delivery across multiple workstreams simultaneously

We have partnered with a large, diversified conglomerate to hire an AI Manager with a Data Engineering focus. This is a hands-on technical leadership role sitting at the intersection of data infrastructure and AI delivery.The business is moving fast on its AI agenda and needs someone who understands that the quality of what gets deployed is only ever as good as the data that powers it. You will own the data engineering workstream within a cross-functional AI team, building the pipelines, platforms and architecture that make production AI systems possible.This role suits a technically strong engineer who has grown into delivery leadership and wants to operate at the centre of a genuinely ambitious AI programme.About the role:Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the GroupTranslate business use cases into clean, well-architected technical solutions across both batch and streaming data environmentsOwn data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scaleDevelop APIs, workflows and integrations that connect data infrastructure to AI and ML systemsLead delivery across small engineering pods, maintaining pace, quality and clear accountabilityEnsure all solutions meet production readiness standards including monitoring, observability and fault tolerance About you:Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environmentsProficiency with cloud data platforms such as Snowflake, BigQuery or RedshiftExperience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalentStrong SQL and Python skills, with an understanding of software engineering principles applied to dataExperience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layersComfortable leading engineering teams and managing delivery across multiple workstreams

We have partnered with a large, diversified conglomerate to hire a Head of AI Engineering. This is a Group-level role with a mandate that matters. AI is moving from strategy into execution across the business, and this person will own that transition end to end. From identifying the right use cases to deploying production-grade systems at enterprise scale, the remit is broad, the visibility is high and the opportunity to leave a lasting mark on a complex organisation is real.This role suits a leader who is equally at home in a technical design review and a boardroom conversation. You will bring strong engineering depth, sharp commercial judgement and the ability to build and inspire a cross-functional team that delivers.About the role:Lead the identification, design and deployment of AI use cases across business functions, owning the full journey from concept to productionDefine and own the architecture across AI/ML, GenAI and automation systems at enterprise scaleBuild, lead and scale a cross-functional AI engineering team, setting the standard for how the function operates and deliversEstablish MLOps frameworks, deployment standards and governance practices that ensure AI systems are reliable, secure and maintainablePartner with product and business stakeholders across the Group to drive adoption, measure ROI and ensure AI initiatives deliver tangible commercial valueAct as the senior technical voice on AI across the organisation, influencing decisions at Group leadership level About you:10 to 15 years or more of experience in engineering, AI or large-scale technology delivery, with a clear track record of deploying AI and ML systems into production at enterprise scaleStrong hands-on understanding of LLMs, orchestration frameworks, MLOps and modern AI architecture patternsSolid experience across cloud platforms including AWS, Azure or GCP, alongside APIs and data pipeline designProven ability to lead technical teams and engage senior stakeholders with equal confidence and credibilityCommercially minded, with the ability to connect technical decisions to business outcomes and articulate value clearlyIndustry background is open, but experience within complex, multi-business-unit organisations is a strong advantageBased in the UAE or willing to relocate

We have partnered with a growth-stage enterprise SaaS business to hire an AI Product Manager. This company is not bolting AI onto an existing product and hoping for the best. They are rebuilding how their platform thinks, automates and serves users, and they need a PM who can lead that from the front. With serious engineering talent already in place and a leadership team that understands what AI can actually do, the conditions here are genuinely rare.This role suits someone who sits comfortably between the technical and the commercial. You understand how AI systems work well enough to have credible conversations with engineers, and you understand users well enough to know which problems are actually worth solving.About the role:Own the AI product roadmap, defining and prioritising features that embed AI meaningfully into the core platform experienceWork closely with engineering, data science and design to take AI capabilities from concept through to shipped, production-grade featuresConduct deep user and market research to identify where AI can reduce friction, automate workflows and create measurable value for enterprise customersDefine success metrics for AI features, building evaluation frameworks that go beyond vanity metrics to measure real user and business impactTranslate complex AI capabilities into clear product narratives that resonate with customers, sales and executive stakeholdersStay ahead of the rapidly evolving AI landscape, identifying emerging techniques and tools that could strengthen the productPartner with GTM and customer success teams to ensure AI features land well and drive adoption across the customer base About you:3 to 5 years of product management experience, with at least some of that spent shipping AI or ML powered features in a production environmentStrong enough technical understanding of AI and ML concepts to work as a genuine peer to engineering and data science teamsProven track record of owning and delivering features that created measurable value for enterprise customersComfortable operating in a fast-moving, growth-stage environment where priorities evolve and ambiguity is part of the jobSharp analytical mindset with experience using data to inform prioritisation, evaluate feature performance and drive decisionsExcellent communicator with the ability to align technical teams, commercial stakeholders and senior leadership around a shared visionFamiliarity with LLMs, agentic systems or workflow automation is a strong advantageBased in the US or authorised to work in the United States

We have partnered with an established fintech business to hire a BI Engineer. This is a business that runs on data. Decisions across product, commercial and operations are driven by insight, and the BI function sits right at the centre of that. With a mature data environment and a leadership team that genuinely values what good BI looks like, this is a strong platform for someone who wants to do their best work.About the role:Design, build and maintain scalable data models and BI solutions that serve commercial, product and operational teams across the businessOwn the development and continuous improvement of dashboards and reporting tools, ensuring they are accurate, performant and genuinely usefulWork closely with stakeholders to understand reporting requirements and translate them into clean, well-structured analytical solutionsBuild and maintain data pipelines that feed BI layers, working alongside data engineering to ensure reliability and consistencyDefine and enforce semantic layer standards, metrics definitions and data documentation that create a single source of truthIdentify opportunities to improve data accessibility, reduce manual reporting and drive self-serve analytics across the organisation About you:4 to 6 years of experience in BI engineering or a closely related analytics engineering roleStrong proficiency in SQL and experience working with modern data platforms such as Snowflake, BigQuery or RedshiftHands-on experience with BI tools such as Looker, Power BI or Tableau, including building production-grade dashboards and reportsSolid understanding of data modelling principles including dimensional modelling and experience with dbt or equivalent transformation toolingComfortable working directly with business stakeholders to gather requirements and deliver solutions that drive decisionsFintech, banking or financial services experience is advantageous

We have partnered with a leading omnichannel retailer in the UAE to appoint a Head of Data. This business operates across physical and digital channels, generating rich data across customer behaviour, inventory, supply chain and commercial performance. The opportunity is to bring that data together, make it trustworthy and turn it into something the business uses to compete.This role suits a seasoned data leader who can set strategy, shape technical direction and build a function that delivers real commercial value across a complex retail organisation.About the role:Define and lead the data strategy, aligning capability with commercial priorities across physical and digital channelsBuild and scale a data function spanning engineering, analytics, data science and governanceOwn the architecture and evolution of the data platform, ensuring it supports advanced analytics and AI use cases at scaleDrive the development of a unified customer view connecting online and offline behaviour across the full retail journeyEstablish data governance frameworks and quality standards that make data trustworthy across the organisationPartner with commercial, marketing, supply chain and technology leadership to embed data-driven decision making at every level About you:12 or more years of experience in data leadership, with a track record of building and scaling data functions within complex organisationsDeep understanding of the retail data landscape including customer analytics, merchandising, supply chain and omnichannel measurementStrong technical grounding across cloud data platforms, data modelling and analytics infrastructure, with experience in tools such as Snowflake, Databricks or dbtProven ability to lead high-performing teams across engineering, analytics and data science disciplinesCommercially minded, with the ability to connect data initiatives directly to revenue, margin and customer outcomesCredible at C-Suite level with strong stakeholder management skills